[SUGGESTION] Images/videos denoising support

[MarcoRavich]

It would be extremely useful to use the powerfulness of Intel processors to obtain a performative open source comprehansive "denoising suite".

Some interesting resources:

• Awesome-Denoise: All latest image/burst/video Denoising papers with code & citation published in top conference and journal.
• Kai Zhang's repos: Image Restoration; Inverse Problems
• BasicSR: an open source image and video restoration toolbox based on PyTorch, such as super-resolution, denoise, deblurring, JPEG artifacts removal, etc.
• MIRNet: Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement
• Deep Plug-and-Play Image Restoration: Deep Plug-and-Play Image Restoration (PyTorch)
• FastDVDnet: A state-of-the-art, simple and fast network for Deep Video Denoising which uses no motion compensation.
• FastTVD: Fast Total Variation Denoising and Speckle Denoising Utilizing GPUs and Multi-Core CPUs
• CondatTV: Cython wrapper for the efficient TV denoising algorithm by Laurent Condat.
• Implementation of Stochastic Image Denoising
• Baseline Image Denoiser: Baseline Autoencoder based Denoiser with symmetric skip connections
• image-denoise: to remove noise from a noisy image, so as to restore the true image.
• Deep Residual Autoencoder for Real Image Denoising
• Matlab-Image-Denoise

Hope that inspires !

[atafra]

Thanks for the resources! We're continuously working on improving both image quality and speed. Stay tuned for further improvements in Intel Open Image Denoise!